Overview

Brought to you by YData

Dataset statistics

Number of variables	23
Number of observations	3677
Missing cells	6710
Missing cells (%)	7.9%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	2.0 MiB
Average record size in memory	578.3 B

Variable types

Categorical	10
Text	3
Numeric	10

Alerts

`area` is highly overall correlated with `bathroom` and 5 other fields	High correlation
`bathroom` is highly overall correlated with `area` and 5 other fields	High correlation
`bedRoom` is highly overall correlated with `area` and 5 other fields	High correlation
`built_up_area` is highly overall correlated with `area` and 4 other fields	High correlation
`carpet_area` is highly overall correlated with `area` and 5 other fields	High correlation
`facing` is highly overall correlated with `built_up_area`	High correlation
`price` is highly overall correlated with `area` and 7 other fields	High correlation
`price_per_sqft` is highly overall correlated with `price`	High correlation
`property_type` is highly overall correlated with `bedRoom` and 2 other fields	High correlation
`servant room` is highly overall correlated with `bathroom` and 1 other fields	High correlation
`super_built_up_area` is highly overall correlated with `area` and 7 other fields	High correlation
`store room` is highly imbalanced (55.7%)	Imbalance
`facing` has 1045 (28.4%) missing values	Missing
`super_built_up_area` has 1802 (49.0%) missing values	Missing
`built_up_area` has 1987 (54.0%) missing values	Missing
`carpet_area` has 1805 (49.1%) missing values	Missing
`area` is highly skewed (γ1 = 29.73095613)	Skewed
`built_up_area` is highly skewed (γ1 = 40.70657243)	Skewed
`carpet_area` is highly skewed (γ1 = 24.33323909)	Skewed
`floorNum` has 129 (3.5%) zeros	Zeros
`luxury_score` has 462 (12.6%) zeros	Zeros

Reproduction

Analysis started	2025-11-01 20:48:49.854045
Analysis finished	2025-11-01 20:48:53.881186
Duration	4.03 seconds
Software version	ydata-profiling vv4.12.2
Download configuration	config.json

property_type
Categorical

High correlation

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	219.9 KiB

flat	2818
house	859

Length

Max length	5
Median length	4
Mean length	4.2336144
Min length	4

Characters and Unicode

Total characters	15567
Distinct characters	9
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	flat
2nd row	flat
3rd row	flat
4th row	flat
5th row	flat

Common Values

Value	Count	Frequency (%)
flat	2818	76.6%
house	859	23.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
flat	2818	76.6%
house	859	23.4%

Most occurring characters

Value	Count	Frequency (%)
f	2818	18.1%
l	2818	18.1%
a	2818	18.1%
t	2818	18.1%
h	859	5.5%
o	859	5.5%
u	859	5.5%
s	859	5.5%
e	859	5.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	15567	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
f	2818	18.1%
l	2818	18.1%
a	2818	18.1%
t	2818	18.1%
h	859	5.5%
o	859	5.5%
u	859	5.5%
s	859	5.5%
e	859	5.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	15567	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
f	2818	18.1%
l	2818	18.1%
a	2818	18.1%
t	2818	18.1%
h	859	5.5%
o	859	5.5%
u	859	5.5%
s	859	5.5%
e	859	5.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	15567	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
f	2818	18.1%
l	2818	18.1%
a	2818	18.1%
t	2818	18.1%
h	859	5.5%
o	859	5.5%
u	859	5.5%
s	859	5.5%
e	859	5.5%

society
Text

Distinct	676
Distinct (%)	18.4%
Missing	1
Missing (%)	< 0.1%
Memory size	265.2 KiB

Length

Max length	49
Median length	39
Mean length	16.869695
Min length	1

Characters and Unicode

Total characters	62013
Distinct characters	41
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	308 ?
Unique (%)	8.4%

Sample

1st row	signature global park 4
2nd row	smart world gems
3rd row	pyramid elite
4th row	breez global hill view
5th row	bestech park view sanskruti

Value	Count	Frequency (%)
independent	491	5.1%
the	350	3.6%
dlf	220	2.3%
park	209	2.2%
city	166	1.7%
emaar	155	1.6%
global	153	1.6%
m3m	152	1.6%
signature	150	1.6%
heights	134	1.4%
Other values (783)	7497	77.5%

Most occurring characters

Value	Count	Frequency (%)
e	6710	10.8%
	6003	9.7%
a	5861	9.5%
r	4171	6.7%
n	4163	6.7%
i	3830	6.2%
t	3719	6.0%
s	3472	5.6%
l	2943	4.7%
o	2755	4.4%
Other values (31)	18386	29.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	62013	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	6710	10.8%
	6003	9.7%
a	5861	9.5%
r	4171	6.7%
n	4163	6.7%
i	3830	6.2%
t	3719	6.0%
s	3472	5.6%
l	2943	4.7%
o	2755	4.4%
Other values (31)	18386	29.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	62013	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	6710	10.8%
	6003	9.7%
a	5861	9.5%
r	4171	6.7%
n	4163	6.7%
i	3830	6.2%
t	3719	6.0%
s	3472	5.6%
l	2943	4.7%
o	2755	4.4%
Other values (31)	18386	29.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	62013	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	6710	10.8%
	6003	9.7%
a	5861	9.5%
r	4171	6.7%
n	4163	6.7%
i	3830	6.2%
t	3719	6.0%
s	3472	5.6%
l	2943	4.7%
o	2755	4.4%
Other values (31)	18386	29.6%

sector
Text

Distinct	104
Distinct (%)	2.8%
Missing	0
Missing (%)	0.0%
Memory size	237.7 KiB

Length

Max length	17
Median length	9
Mean length	9.201251
Min length	7

Characters and Unicode

Total characters	33833
Distinct characters	30
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	sector 36
2nd row	sector 89
3rd row	sector 86
4th row	sohna road
5th row	sector 92

Value	Count	Frequency (%)
sector	3452	47.2%
sohna	166	2.3%
road	166	2.3%
85	108	1.5%
102	107	1.5%
92	100	1.4%
69	93	1.3%
90	89	1.2%
81	87	1.2%
65	87	1.2%
Other values (98)	2866	39.1%

Most occurring characters

Value	Count	Frequency (%)
o	3784	11.2%
r	3685	10.9%
s	3667	10.8%
	3644	10.8%
e	3501	10.3%
c	3452	10.2%
t	3452	10.2%
1	1076	3.2%
0	804	2.4%
8	780	2.3%
Other values (20)	5988	17.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	33833	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
o	3784	11.2%
r	3685	10.9%
s	3667	10.8%
	3644	10.8%
e	3501	10.3%
c	3452	10.2%
t	3452	10.2%
1	1076	3.2%
0	804	2.4%
8	780	2.3%
Other values (20)	5988	17.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	33833	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
o	3784	11.2%
r	3685	10.9%
s	3667	10.8%
	3644	10.8%
e	3501	10.3%
c	3452	10.2%
t	3452	10.2%
1	1076	3.2%
0	804	2.4%
8	780	2.3%
Other values (20)	5988	17.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	33833	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
o	3784	11.2%
r	3685	10.9%
s	3667	10.8%
	3644	10.8%
e	3501	10.3%
c	3452	10.2%
t	3452	10.2%
1	1076	3.2%
0	804	2.4%
8	780	2.3%
Other values (20)	5988	17.7%

price
Real number (ℝ)

High correlation

Distinct	473
Distinct (%)	12.9%
Missing	17
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	2.5336639

Minimum	0.07
Maximum	31.5
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	0.07
5-th percentile	0.37
Q1	0.95
median	1.52
Q3	2.75
95-th percentile	8.5
Maximum	31.5
Range	31.43
Interquartile range (IQR)	1.8

Descriptive statistics

Standard deviation	2.9806235
Coefficient of variation (CV)	1.1764084
Kurtosis	14.933373
Mean	2.5336639
Median Absolute Deviation (MAD)	0.72
Skewness	3.2791705
Sum	9273.21
Variance	8.8841164
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1.25	80	2.2%
1.5	64	1.7%
1.2	64	1.7%
0.9	63	1.7%
1.1	62	1.7%
1.4	60	1.6%
1.3	57	1.6%
0.95	52	1.4%
2	52	1.4%
1.6	48	1.3%
Other values (463)	3058	83.2%

Value	Count	Frequency (%)
0.07	1	< 0.1%
0.16	1	< 0.1%
0.17	1	< 0.1%
0.19	1	< 0.1%
0.2	8	0.2%
0.21	6	0.2%
0.22	8	0.2%
0.23	1	< 0.1%
0.24	6	0.2%
0.25	11	0.3%

Value	Count	Frequency (%)
31.5	1	< 0.1%
27.5	1	< 0.1%
26	2	0.1%
25	1	< 0.1%
24	1	< 0.1%
23	1	< 0.1%
22	1	< 0.1%
20	3	0.1%
19.5	2	0.1%
19	3	0.1%

price_per_sqft
Real number (ℝ)

High correlation

Distinct	2651
Distinct (%)	72.4%
Missing	17
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	13892.668

Minimum	4
Maximum	600000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	4
5-th percentile	4715.95
Q1	6817.25
median	9020
Q3	13880.5
95-th percentile	33333
Maximum	600000
Range	599996
Interquartile range (IQR)	7063.25

Descriptive statistics

Standard deviation	23210.067
Coefficient of variation (CV)	1.6706702
Kurtosis	186.92801
Mean	13892.668
Median Absolute Deviation (MAD)	2794
Skewness	11.43719
Sum	50847166
Variance	5.3870722 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10000	27	0.7%
8000	19	0.5%
5000	17	0.5%
12500	14	0.4%
6666	13	0.4%
11111	13	0.4%
22222	13	0.4%
7500	12	0.3%
8333	12	0.3%
6000	11	0.3%
Other values (2641)	3509	95.4%
(Missing)	17	0.5%

Value	Count	Frequency (%)
4	1	< 0.1%
5	1	< 0.1%
7	1	< 0.1%
9	1	< 0.1%
53	1	< 0.1%
57	1	< 0.1%
58	2	0.1%
60	1	< 0.1%
61	1	< 0.1%
79	1	< 0.1%

Value	Count	Frequency (%)
600000	1	< 0.1%
400000	1	< 0.1%
315789	1	< 0.1%
308333	1	< 0.1%
290948	1	< 0.1%
283333	1	< 0.1%
266666	1	< 0.1%
261194	1	< 0.1%
245398	1	< 0.1%
241666	1	< 0.1%

area
Real number (ℝ)

High correlation Skewed

Distinct	1312
Distinct (%)	35.8%
Missing	17
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	2888.3311

Minimum	50
Maximum	875000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	50
5-th percentile	518.85
Q1	1232.25
median	1733
Q3	2300
95-th percentile	4246.2
Maximum	875000
Range	874950
Interquartile range (IQR)	1067.75

Descriptive statistics

Standard deviation	23167.506
Coefficient of variation (CV)	8.0210699
Kurtosis	942.02903
Mean	2888.3311
Median Absolute Deviation (MAD)	533
Skewness	29.730956
Sum	10571292
Variance	5.3673333 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1650	54	1.5%
1350	48	1.3%
1800	47	1.3%
3240	43	1.2%
1950	43	1.2%
2700	39	1.1%
900	38	1.0%
2000	33	0.9%
2250	25	0.7%
2400	23	0.6%
Other values (1302)	3267	88.8%

Value	Count	Frequency (%)
50	4	0.1%
55	1	< 0.1%
56	1	< 0.1%
57	1	< 0.1%
60	2	0.1%
61	1	< 0.1%
67	2	0.1%
70	1	< 0.1%
72	1	< 0.1%
76	1	< 0.1%

Value	Count	Frequency (%)
875000	1	< 0.1%
642857	1	< 0.1%
620000	1	< 0.1%
566667	1	< 0.1%
215517	1	< 0.1%
98978	1	< 0.1%
82781	1	< 0.1%
65517	2	0.1%
65261	1	< 0.1%
58228	1	< 0.1%

areaWithType
Text

Distinct	2355
Distinct (%)	64.0%
Missing	0
Missing (%)	0.0%
Memory size	399.4 KiB

Length

Max length	124
Median length	119
Mean length	54.236062
Min length	12

Characters and Unicode

Total characters	199426
Distinct characters	35
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1849 ?
Unique (%)	50.3%

Sample

1st row	Super Built up area 1081(100.43 sq.m.)Carpet area: 650 sq.ft. (60.39 sq.m.)
2nd row	Carpet area: 1103 (102.47 sq.m.)
3rd row	Carpet area: 58141 (5401.48 sq.m.)
4th row	Built Up area: 1000 (92.9 sq.m.)Carpet area: 585 sq.ft. (54.35 sq.m.)
5th row	Super Built up area 1995(185.34 sq.m.)Built Up area: 1615 sq.ft. (150.04 sq.m.)Carpet area: 1476 sq.ft. (137.12 sq.m.)

Value	Count	Frequency (%)
area	5573	18.5%
sq.m	3655	12.1%
up	3020	10.0%
built	2316	7.7%
super	1875	6.2%
sq.ft	1751	5.8%
sq.m.)carpet	1185	3.9%
sq.m.)built	702	2.3%
carpet	683	2.3%
plot	681	2.3%
Other values (2846)	8700	28.9%

Most occurring characters

Value	Count	Frequency (%)
	26464	13.3%
.	20389	10.2%
a	13154	6.6%
r	9456	4.7%
e	9320	4.7%
1	9205	4.6%
s	7567	3.8%
q	7431	3.7%
t	7324	3.7%
u	6770	3.4%
Other values (25)	82346	41.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	199426	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	26464	13.3%
.	20389	10.2%
a	13154	6.6%
r	9456	4.7%
e	9320	4.7%
1	9205	4.6%
s	7567	3.8%
q	7431	3.7%
t	7324	3.7%
u	6770	3.4%
Other values (25)	82346	41.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	199426	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	26464	13.3%
.	20389	10.2%
a	13154	6.6%
r	9456	4.7%
e	9320	4.7%
1	9205	4.6%
s	7567	3.8%
q	7431	3.7%
t	7324	3.7%
u	6770	3.4%
Other values (25)	82346	41.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	199426	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	26464	13.3%
.	20389	10.2%
a	13154	6.6%
r	9456	4.7%
e	9320	4.7%
1	9205	4.6%
s	7567	3.8%
q	7431	3.7%
t	7324	3.7%
u	6770	3.4%
Other values (25)	82346	41.3%

bedRoom
Real number (ℝ)

High correlation

Distinct	19
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.3600761

Minimum	1
Maximum	21
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	2
median	3
Q3	4
95-th percentile	6
Maximum	21
Range	20
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.8976289
Coefficient of variation (CV)	0.56475771
Kurtosis	18.212873
Mean	3.3600761
Median Absolute Deviation (MAD)	1
Skewness	3.4851418
Sum	12355
Variance	3.6009954
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
3	1496	40.7%
2	942	25.6%
4	660	17.9%
5	210	5.7%
1	124	3.4%
6	74	2.0%
9	41	1.1%
8	30	0.8%
12	28	0.8%
7	28	0.8%
Other values (9)	44	1.2%

Value	Count	Frequency (%)
1	124	3.4%
2	942	25.6%
3	1496	40.7%
4	660	17.9%
5	210	5.7%
6	74	2.0%
7	28	0.8%
8	30	0.8%
9	41	1.1%
10	20	0.5%

Value	Count	Frequency (%)
21	1	< 0.1%
20	1	< 0.1%
19	2	0.1%
18	2	0.1%
16	12	0.3%
14	1	< 0.1%
13	4	0.1%
12	28	0.8%
11	1	< 0.1%
10	20	0.5%

bathroom
Real number (ℝ)

High correlation

Distinct	19
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.4245309

Minimum	1
Maximum	21
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	2
median	3
Q3	4
95-th percentile	6
Maximum	21
Range	20
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.9480681
Coefficient of variation (CV)	0.56885693
Kurtosis	17.542297
Mean	3.4245309
Median Absolute Deviation (MAD)	1
Skewness	3.2488298
Sum	12592
Variance	3.7949693
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
3	1077	29.3%
2	1047	28.5%
4	820	22.3%
5	294	8.0%
1	156	4.2%
6	117	3.2%
9	41	1.1%
7	40	1.1%
8	25	0.7%
12	22	0.6%
Other values (9)	38	1.0%

Value	Count	Frequency (%)
1	156	4.2%
2	1047	28.5%
3	1077	29.3%
4	820	22.3%
5	294	8.0%
6	117	3.2%
7	40	1.1%
8	25	0.7%
9	41	1.1%
10	9	0.2%

Value	Count	Frequency (%)
21	1	< 0.1%
20	3	0.1%
18	4	0.1%
17	3	0.1%
16	8	0.2%
14	2	0.1%
13	4	0.1%
12	22	0.6%
11	4	0.1%
10	9	0.2%

balcony
Categorical

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	209.4 KiB

3+	1172
3	1074
2	884
1	365
0	182

Length

Max length	2
Median length	1
Mean length	1.3187381
Min length	1

Characters and Unicode

Total characters	4849
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	1
4th row	1
5th row	3+

Common Values

Value	Count	Frequency (%)
3+	1172	31.9%
3	1074	29.2%
2	884	24.0%
1	365	9.9%
0	182	4.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3	2246	61.1%
2	884	24.0%
1	365	9.9%
0	182	4.9%

Most occurring characters

Value	Count	Frequency (%)
3	2246	46.3%
+	1172	24.2%
2	884	18.2%
1	365	7.5%
0	182	3.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	4849	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
3	2246	46.3%
+	1172	24.2%
2	884	18.2%
1	365	7.5%
0	182	3.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	4849	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
3	2246	46.3%
+	1172	24.2%
2	884	18.2%
1	365	7.5%
0	182	3.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	4849	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
3	2246	46.3%
+	1172	24.2%
2	884	18.2%
1	365	7.5%
0	182	3.8%

floorNum
Real number (ℝ)

Zeros

Distinct	43
Distinct (%)	1.2%
Missing	19
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	6.7982504

Minimum	0
Maximum	51
Zeros	129
Zeros (%)	3.5%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	2
median	5
Q3	10
95-th percentile	18
Maximum	51
Range	51
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	6.0124542
Coefficient of variation (CV)	0.884412
Kurtosis	4.5153928
Mean	6.7982504
Median Absolute Deviation (MAD)	3
Skewness	1.6936988
Sum	24868
Variance	36.149606
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=43)

Value	Count	Frequency (%)
3	498	13.5%
2	493	13.4%
1	351	9.5%
4	316	8.6%
8	195	5.3%
6	183	5.0%
10	179	4.9%
7	176	4.8%
5	169	4.6%
9	161	4.4%
Other values (33)	937	25.5%

Value	Count	Frequency (%)
0	129	3.5%
1	351	9.5%
2	493	13.4%
3	498	13.5%
4	316	8.6%
5	169	4.6%
6	183	5.0%
7	176	4.8%
8	195	5.3%
9	161	4.4%

Value	Count	Frequency (%)
51	1	< 0.1%
45	1	< 0.1%
44	1	< 0.1%
43	2	0.1%
40	1	< 0.1%
39	2	0.1%
38	1	< 0.1%
35	2	0.1%
34	2	0.1%
33	4	0.1%

facing
Categorical

High correlation Missing

Distinct	8
Distinct (%)	0.3%
Missing	1045
Missing (%)	28.4%
Memory size	229.4 KiB

North-East	623
East	623
North	387
West	249
South	231
Other values (3)	519

Length

Max length	10
Median length	5
Mean length	6.8381459
Min length	4

Characters and Unicode

Total characters	17998
Distinct characters	13
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	North-West
2nd row	North-East
3rd row	North-East
4th row	East
5th row	North-East

Common Values

Value	Count	Frequency (%)
North-East	623	16.9%
East	623	16.9%
North	387	10.5%
West	249	6.8%
South	231	6.3%
North-West	193	5.2%
South-East	173	4.7%
South-West	153	4.2%
(Missing)	1045	28.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
north-east	623	23.7%
east	623	23.7%
north	387	14.7%
west	249	9.5%
south	231	8.8%
north-west	193	7.3%
south-east	173	6.6%
south-west	153	5.8%

Most occurring characters

Value	Count	Frequency (%)
t	3774	21.0%
s	2014	11.2%
o	1760	9.8%
h	1760	9.8%
E	1419	7.9%
a	1419	7.9%
N	1203	6.7%
r	1203	6.7%
-	1142	6.3%
W	595	3.3%
Other values (3)	1709	9.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	17998	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
t	3774	21.0%
s	2014	11.2%
o	1760	9.8%
h	1760	9.8%
E	1419	7.9%
a	1419	7.9%
N	1203	6.7%
r	1203	6.7%
-	1142	6.3%
W	595	3.3%
Other values (3)	1709	9.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	17998	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
t	3774	21.0%
s	2014	11.2%
o	1760	9.8%
h	1760	9.8%
E	1419	7.9%
a	1419	7.9%
N	1203	6.7%
r	1203	6.7%
-	1142	6.3%
W	595	3.3%
Other values (3)	1709	9.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	17998	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
t	3774	21.0%
s	2014	11.2%
o	1760	9.8%
h	1760	9.8%
E	1419	7.9%
a	1419	7.9%
N	1203	6.7%
r	1203	6.7%
-	1142	6.3%
W	595	3.3%
Other values (3)	1709	9.5%

agePossession
Categorical

Distinct	6
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	252.7 KiB

Relatively New	1646
New Property	593
Moderately Old	563
Undefined	306
Old Property	303

Length

Max length	18
Median length	14
Mean length	13.385912
Min length	9

Characters and Unicode

Total characters	49220
Distinct characters	25
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	New Property
2nd row	New Property
3rd row	Under Construction
4th row	New Property
5th row	Relatively New

Common Values

Value	Count	Frequency (%)
Relatively New	1646	44.8%
New Property	593	16.1%
Moderately Old	563	15.3%
Undefined	306	8.3%
Old Property	303	8.2%
Under Construction	266	7.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
new	2239	31.8%
relatively	1646	23.4%
property	896	12.7%
old	866	12.3%
moderately	563	8.0%
undefined	306	4.3%
under	266	3.8%
construction	266	3.8%

Most occurring characters

Value	Count	Frequency (%)
e	8431	17.1%
l	4721	9.6%
t	3637	7.4%
	3371	6.8%
y	3105	6.3%
r	2887	5.9%
d	2307	4.7%
N	2239	4.5%
w	2239	4.5%
i	2218	4.5%
Other values (15)	14065	28.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	49220	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	8431	17.1%
l	4721	9.6%
t	3637	7.4%
	3371	6.8%
y	3105	6.3%
r	2887	5.9%
d	2307	4.7%
N	2239	4.5%
w	2239	4.5%
i	2218	4.5%
Other values (15)	14065	28.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	49220	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	8431	17.1%
l	4721	9.6%
t	3637	7.4%
	3371	6.8%
y	3105	6.3%
r	2887	5.9%
d	2307	4.7%
N	2239	4.5%
w	2239	4.5%
i	2218	4.5%
Other values (15)	14065	28.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	49220	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	8431	17.1%
l	4721	9.6%
t	3637	7.4%
	3371	6.8%
y	3105	6.3%
r	2887	5.9%
d	2307	4.7%
N	2239	4.5%
w	2239	4.5%
i	2218	4.5%
Other values (15)	14065	28.6%

super_built_up_area
Real number (ℝ)

High correlation Missing

Distinct	593
Distinct (%)	31.6%
Missing	1802
Missing (%)	49.0%
Infinite	0
Infinite (%)	0.0%
Mean	1925.2376

Minimum	89
Maximum	10000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	89
5-th percentile	767
Q1	1479.5
median	1828
Q3	2215
95-th percentile	3185
Maximum	10000
Range	9911
Interquartile range (IQR)	735.5

Descriptive statistics

Standard deviation	764.17218
Coefficient of variation (CV)	0.39692356
Kurtosis	10.349191
Mean	1925.2376
Median Absolute Deviation (MAD)	372
Skewness	1.8364563
Sum	3609820.5
Variance	583959.12
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1650	37	1.0%
1950	37	1.0%
2000	25	0.7%
1578	25	0.7%
2150	22	0.6%
1640	22	0.6%
1900	19	0.5%
2408	19	0.5%
1930	18	0.5%
2812	17	0.5%
Other values (583)	1634	44.4%
(Missing)	1802	49.0%

Value	Count	Frequency (%)
89	1	< 0.1%
145	1	< 0.1%
161	1	< 0.1%
215	1	< 0.1%
216	1	< 0.1%
325	1	< 0.1%
340	1	< 0.1%
352	1	< 0.1%
380	1	< 0.1%
406	1	< 0.1%

Value	Count	Frequency (%)
10000	1	< 0.1%
6926	1	< 0.1%
6000	1	< 0.1%
5800	2	0.1%
5514	1	< 0.1%
5350	2	0.1%
5200	2	0.1%
4890	1	< 0.1%
4857	1	< 0.1%
4848	2	0.1%

built_up_area
Real number (ℝ)

High correlation Missing Skewed

Distinct	644
Distinct (%)	38.1%
Missing	1987
Missing (%)	54.0%
Infinite	0
Infinite (%)	0.0%
Mean	2379.5858

Minimum	2
Maximum	737147
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	2
5-th percentile	240.45
Q1	1100
median	1650
Q3	2400
95-th percentile	4691
Maximum	737147
Range	737145
Interquartile range (IQR)	1300

Descriptive statistics

Standard deviation	17942.88
Coefficient of variation (CV)	7.5403375
Kurtosis	1667.8704
Mean	2379.5858
Median Absolute Deviation (MAD)	650
Skewness	40.706572
Sum	4021500
Variance	3.2194695 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1800	41	1.1%
3240	37	1.0%
1900	34	0.9%
2700	33	0.9%
1350	33	0.9%
900	28	0.8%
1600	26	0.7%
2000	24	0.7%
1300	24	0.7%
1700	23	0.6%
Other values (634)	1387	37.7%
(Missing)	1987	54.0%

Value	Count	Frequency (%)
2	1	< 0.1%
14	1	< 0.1%
30	1	< 0.1%
33	1	< 0.1%
50	3	0.1%
53	1	< 0.1%
55	1	< 0.1%
56	1	< 0.1%
57	1	< 0.1%
60	5	0.1%

Value	Count	Frequency (%)
737147	1	< 0.1%
13500	1	< 0.1%
11286	1	< 0.1%
9500	1	< 0.1%
9000	7	0.2%
8775	1	< 0.1%
8286	1	< 0.1%
8067.8	1	< 0.1%
8000	1	< 0.1%
7500	2	0.1%

carpet_area
Real number (ℝ)

High correlation Missing Skewed

Distinct	733
Distinct (%)	39.2%
Missing	1805
Missing (%)	49.1%
Infinite	0
Infinite (%)	0.0%
Mean	2529.1795

Minimum	15
Maximum	607936
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	15
5-th percentile	350
Q1	843
median	1300
Q3	1790
95-th percentile	2950
Maximum	607936
Range	607921
Interquartile range (IQR)	947

Descriptive statistics

Standard deviation	22799.836
Coefficient of variation (CV)	9.0147166
Kurtosis	604.53764
Mean	2529.1795
Median Absolute Deviation (MAD)	472.5
Skewness	24.333239
Sum	4734624
Variance	5.1983254 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1400	42	1.1%
1600	35	1.0%
1800	35	1.0%
1200	31	0.8%
1500	29	0.8%
1650	28	0.8%
1350	27	0.7%
1300	23	0.6%
1450	22	0.6%
1000	22	0.6%
Other values (723)	1578	42.9%
(Missing)	1805	49.1%

Value	Count	Frequency (%)
15	1	< 0.1%
33	1	< 0.1%
48	1	< 0.1%
50	1	< 0.1%
59	1	< 0.1%
60	1	< 0.1%
66	1	< 0.1%
72	1	< 0.1%
76.44	3	0.1%
77.31	1	< 0.1%

Value	Count	Frequency (%)
607936	1	< 0.1%
569243	1	< 0.1%
514396	1	< 0.1%
64529	1	< 0.1%
64412	1	< 0.1%
58141	1	< 0.1%
54917	1	< 0.1%
48811	1	< 0.1%
45966	1	< 0.1%
34401	1	< 0.1%

study room
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	208.3 KiB

0	2972
1	705

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3677
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	2972	80.8%
1	705	19.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2972	80.8%
1	705	19.2%

Most occurring characters

Value	Count	Frequency (%)
0	2972	80.8%
1	705	19.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3677	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	2972	80.8%
1	705	19.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3677	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	2972	80.8%
1	705	19.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3677	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	2972	80.8%
1	705	19.2%

servant room
Categorical

High correlation

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	208.3 KiB

0	2349
1	1328

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3677
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	0
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	2349	63.9%
1	1328	36.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2349	63.9%
1	1328	36.1%

Most occurring characters

Value	Count	Frequency (%)
0	2349	63.9%
1	1328	36.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3677	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	2349	63.9%
1	1328	36.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3677	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	2349	63.9%
1	1328	36.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3677	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	2349	63.9%
1	1328	36.1%

store room
Categorical

Imbalance

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	208.3 KiB

0	3339
1	338

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3677
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	3339	90.8%
1	338	9.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	3339	90.8%
1	338	9.2%

Most occurring characters

Value	Count	Frequency (%)
0	3339	90.8%
1	338	9.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3677	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	3339	90.8%
1	338	9.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3677	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	3339	90.8%
1	338	9.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3677	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	3339	90.8%
1	338	9.2%

pooja room
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	208.3 KiB

0	3021
1	656

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3677
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	3021	82.2%
1	656	17.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	3021	82.2%
1	656	17.8%

Most occurring characters

Value	Count	Frequency (%)
0	3021	82.2%
1	656	17.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3677	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	3021	82.2%
1	656	17.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3677	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	3021	82.2%
1	656	17.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3677	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	3021	82.2%
1	656	17.8%

others
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	208.3 KiB

0	3272
1	405

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3677
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	3272	89.0%
1	405	11.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	3272	89.0%
1	405	11.0%

Most occurring characters

Value	Count	Frequency (%)
0	3272	89.0%
1	405	11.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3677	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	3272	89.0%
1	405	11.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3677	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	3272	89.0%
1	405	11.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3677	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	3272	89.0%
1	405	11.0%

furnishing_type
Categorical

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	208.3 KiB

0	2411
1	1059
2	207

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3677
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	2411	65.6%
1	1059	28.8%
2	207	5.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2411	65.6%
1	1059	28.8%
2	207	5.6%

Most occurring characters

Value	Count	Frequency (%)
0	2411	65.6%
1	1059	28.8%
2	207	5.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3677	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	2411	65.6%
1	1059	28.8%
2	207	5.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3677	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	2411	65.6%
1	1059	28.8%
2	207	5.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3677	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	2411	65.6%
1	1059	28.8%
2	207	5.6%

luxury_score
Real number (ℝ)

Zeros

Distinct	161
Distinct (%)	4.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	71.512918

Minimum	0
Maximum	174
Zeros	462
Zeros (%)	12.6%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	31
median	59
Q3	110
95-th percentile	174
Maximum	174
Range	174
Interquartile range (IQR)	79

Descriptive statistics

Standard deviation	53.059082
Coefficient of variation (CV)	0.74195102
Kurtosis	-0.88020421
Mean	71.512918
Median Absolute Deviation (MAD)	38
Skewness	0.4590463
Sum	262953
Variance	2815.2662
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	462	12.6%
49	348	9.5%
174	195	5.3%
44	60	1.6%
38	55	1.5%
165	55	1.5%
72	52	1.4%
60	47	1.3%
37	45	1.2%
42	45	1.2%
Other values (151)	2313	62.9%

Value	Count	Frequency (%)
0	462	12.6%
5	6	0.2%
6	6	0.2%
7	41	1.1%
8	30	0.8%
9	9	0.2%
12	6	0.2%
13	10	0.3%
14	12	0.3%
15	43	1.2%

Value	Count	Frequency (%)
174	195	5.3%
169	1	< 0.1%
168	9	0.2%
167	21	0.6%
166	10	0.3%
165	55	1.5%
161	3	0.1%
160	28	0.8%
159	23	0.6%
158	34	0.9%

Interactions

Correlations

	agePossession	area	balcony	bathroom	bedRoom	built_up_area	carpet_area	facing	floorNum	furnishing_type	luxury_score	others	pooja room	price	price_per_sqft	property_type	servant room	store room	study room	super_built_up_area
agePossession	1.000	0.000	0.274	0.111	0.130	0.000	0.000	0.092	0.125	0.214	0.255	0.108	0.187	0.102	0.056	0.379	0.287	0.143	0.140	0.086
area	0.000	1.000	0.011	0.687	0.624	0.835	0.801	0.022	0.116	0.043	0.259	0.042	0.037	0.744	0.207	0.028	0.015	0.039	0.018	0.948
balcony	0.274	0.011	1.000	0.225	0.176	0.000	0.026	0.016	0.079	0.178	0.223	0.082	0.197	0.136	0.033	0.214	0.441	0.146	0.183	0.306
bathroom	0.111	0.687	0.225	1.000	0.862	0.465	0.599	0.044	-0.005	0.198	0.179	0.070	0.286	0.720	0.411	0.472	0.520	0.244	0.176	0.819
bedRoom	0.130	0.624	0.176	0.862	1.000	0.380	0.569	0.032	-0.104	0.167	0.057	0.079	0.291	0.681	0.417	0.595	0.317	0.223	0.154	0.800
built_up_area	0.000	0.835	0.000	0.465	0.380	1.000	0.969	1.000	0.091	0.088	0.289	0.000	0.000	0.605	0.132	0.000	0.000	0.000	0.000	0.926
carpet_area	0.000	0.801	0.026	0.599	0.569	0.969	1.000	0.000	0.159	0.000	0.239	0.016	0.000	0.613	0.136	0.000	0.000	0.000	0.003	0.894
facing	0.092	0.022	0.016	0.044	0.032	1.000	0.000	1.000	0.000	0.050	0.065	0.000	0.029	0.021	0.000	0.094	0.036	0.036	0.000	0.000
floorNum	0.125	0.116	0.079	-0.005	-0.104	0.091	0.159	0.000	1.000	0.015	0.232	0.033	0.102	0.001	-0.126	0.485	0.084	0.112	0.078	0.152
furnishing_type	0.214	0.043	0.178	0.198	0.167	0.088	0.000	0.050	0.015	1.000	0.245	0.060	0.216	0.176	0.022	0.080	0.273	0.155	0.142	0.134
luxury_score	0.255	0.259	0.223	0.179	0.057	0.289	0.239	0.065	0.232	0.245	1.000	0.176	0.189	0.215	0.054	0.329	0.347	0.228	0.183	0.222
others	0.108	0.042	0.082	0.070	0.079	0.000	0.016	0.000	0.033	0.060	0.176	1.000	0.033	0.034	0.036	0.026	0.000	0.106	0.031	0.084
pooja room	0.187	0.037	0.197	0.286	0.291	0.000	0.000	0.029	0.102	0.216	0.189	0.033	1.000	0.334	0.043	0.252	0.252	0.305	0.313	0.157
price	0.102	0.744	0.136	0.720	0.681	0.605	0.613	0.021	0.001	0.176	0.215	0.034	0.334	1.000	0.744	0.543	0.369	0.303	0.244	0.772
price_per_sqft	0.056	0.207	0.033	0.411	0.417	0.132	0.136	0.000	-0.126	0.022	0.054	0.036	0.043	0.744	1.000	0.201	0.044	0.000	0.030	0.287
property_type	0.379	0.028	0.214	0.472	0.595	0.000	0.000	0.094	0.485	0.080	0.329	0.026	0.252	0.543	0.201	1.000	0.065	0.241	0.128	1.000
servant room	0.287	0.015	0.441	0.520	0.317	0.000	0.000	0.036	0.084	0.273	0.347	0.000	0.252	0.369	0.044	0.065	1.000	0.161	0.185	0.584
store room	0.143	0.039	0.146	0.244	0.223	0.000	0.000	0.036	0.112	0.155	0.228	0.106	0.305	0.303	0.000	0.241	0.161	1.000	0.226	0.046
study room	0.140	0.018	0.183	0.176	0.154	0.000	0.003	0.000	0.078	0.142	0.183	0.031	0.313	0.244	0.030	0.128	0.185	0.226	1.000	0.121
super_built_up_area	0.086	0.948	0.306	0.819	0.800	0.926	0.894	0.000	0.152	0.134	0.222	0.084	0.157	0.772	0.287	1.000	0.584	0.046	0.121	1.000

Missing values

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

	property_type	society	sector	price	price_per_sqft	area	areaWithType	bedRoom	bathroom	balcony	floorNum	facing	agePossession	super_built_up_area	built_up_area	carpet_area	study room	servant room	store room	pooja room	others	furnishing_type	luxury_score
0	flat	signature global park 4	sector 36	0.82	7585.0	1081.0	Super Built up area 1081(100.43 sq.m.)Carpet area: 650 sq.ft. (60.39 sq.m.)	3	2	2	2.0	NaN	New Property	1081.0	NaN	650.0	0	0	0	0	0	0	8
1	flat	smart world gems	sector 89	0.95	8600.0	1105.0	Carpet area: 1103 (102.47 sq.m.)	2	2	2	4.0	NaN	New Property	NaN	NaN	1103.0	1	1	0	0	0	0	38
2	flat	pyramid elite	sector 86	0.46	79.0	58228.0	Carpet area: 58141 (5401.48 sq.m.)	2	2	1	0.0	NaN	Under Construction	NaN	NaN	58141.0	0	0	0	0	0	0	15
3	flat	breez global hill view	sohna road	0.32	5470.0	585.0	Built Up area: 1000 (92.9 sq.m.)Carpet area: 585 sq.ft. (54.35 sq.m.)	2	2	1	17.0	NaN	New Property	NaN	1000.00	585.0	0	0	0	0	0	0	49
4	flat	bestech park view sanskruti	sector 92	1.60	8020.0	1995.0	Super Built up area 1995(185.34 sq.m.)Built Up area: 1615 sq.ft. (150.04 sq.m.)Carpet area: 1476 sq.ft. (137.12 sq.m.)	3	4	3+	10.0	North-West	Relatively New	1995.0	1615.00	1476.0	0	1	0	0	1	1	174
5	flat	suncity avenue	sector 102	0.48	9022.0	532.0	Super Built up area 632(58.71 sq.m.)Carpet area: 532 sq.ft. (49.42 sq.m.)	2	2	1	5.0	North-East	Relatively New	632.0	NaN	532.0	0	0	1	0	0	0	159
6	flat	paras quartier	gwal pahari	7.50	14018.0	5350.0	Super Built up area 5350(497.03 sq.m.)	4	4	3+	20.0	North-East	New Property	5350.0	NaN	NaN	0	1	0	1	1	1	49
7	flat	experion the heartsong	sector 108	2.00	8554.0	2338.0	Super Built up area 2338(217.21 sq.m.)	3	3	3+	14.0	East	Relatively New	2338.0	NaN	NaN	0	1	0	0	0	0	95
8	flat	adani m2k oyster grande	sector 102	1.90	9105.0	2087.0	Super Built up area 1889(175.49 sq.m.)	3	4	3	8.0	North-East	Relatively New	1889.0	NaN	NaN	0	1	0	0	0	0	165
9	house	independent	sector 105	1.20	10122.0	1186.0	Plot area 1185.51(110.14 sq.m.)	6	2	1	2.0	North-West	Old Property	NaN	1185.51	NaN	0	0	0	0	0	0	9

	property_type	society	sector	price	price_per_sqft	area	areaWithType	bedRoom	bathroom	balcony	floorNum	facing	agePossession	super_built_up_area	built_up_area	carpet_area	study room	servant room	store room	pooja room	furnishing_type	luxury_score
3793	flat	gls arawali homes	sohna road	0.27	4687.0	576.0	Carpet area: 576 (53.51 sq.m.)	2	2	2	1.0	East	New Property	NaN	NaN	576.0	0	0	0	0	0	35
3794	house	independent	sector 27	8.00	26298.0	3042.0	Plot area 338(282.61 sq.m.)	9	9	3	4.0	North-East	Relatively New	NaN	3042.0	NaN	1	1	1	1	2	110
3795	flat	eldeco accolade	sohna road	0.87	5965.0	1459.0	Super Built up area 1457(135.36 sq.m.)Carpet area: 849 sq.ft. (78.87 sq.m.)	2	2	3+	10.0	NaN	Relatively New	1457.0	NaN	849.0	1	0	0	0	0	72
3796	flat	paras dews	sector 106	0.92	6642.0	1385.0	Super Built up area 1385(128.67 sq.m.)Built Up area: 940 sq.ft. (87.33 sq.m.)Carpet area: 845 sq.ft. (78.5 sq.m.)	2	2	3+	2.0	East	Relatively New	1385.0	940.0	845.0	0	0	0	0	0	174
3797	house	surendra homes dayaindependentd colony	sector 6	0.75	15625.0	480.0	Built Up area: 480 (44.59 sq.m.)	4	4	2	1.0	NaN	Undefined	NaN	480.0	NaN	0	0	0	0	0	0
3798	flat	pivotal devaan	sector 84	0.37	6346.0	583.0	Super Built up area 583(54.16 sq.m.)Carpet area: 483 sq.ft. (44.87 sq.m.)	2	2	1	5.0	North-West	Relatively New	583.0	NaN	483.0	0	0	0	0	0	73
3799	house	international city by sobha phase 1	sector 109	6.00	9634.0	6228.0	Plot area 692(578.6 sq.m.)	5	5	3+	2.0	South-West	Relatively New	NaN	6228.0	NaN	1	1	1	1	0	160
3800	flat	ansal api celebrity suites	sector 2	0.60	8163.0	735.0	Super Built up area 735(68.28 sq.m.)	1	1	1	5.0	North-East	Moderately Old	735.0	NaN	NaN	0	0	0	0	1	67
3801	house	independent	sector 43	15.50	28233.0	5490.0	Plot area 610(510.04 sq.m.)	5	6	3	3.0	East	Moderately Old	NaN	5490.0	NaN	1	1	1	1	0	76
3802	flat	m3m ikonic	sector 68	1.78	9128.0	1950.0	Super Built up area 1950(181.16 sq.m.)Built Up area: 1845 sq.ft. (171.41 sq.m.)Carpet area: 1530 sq.ft. (142.14 sq.m.)	3	3	3+	27.0	South	Relatively New	1950.0	1845.0	1530.0	0	0	0	0	1	126

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script